Adaptive postprocessors with DCT-based block classifications

In this paper, we propose an adaptive postprocessor with DCT-based block classification to effectively remove blocky effect. The proposed DCT-based detection algorithms for both intra and interframes require much lower computation complexity than the spatial-domain approaches. In order to preserve the edge information, the adaptive postprocessor is also designed with a DCT-based edge detection mechanism. Simulation results show that the proposed DCT-based detection algorithms accurately classify smooth, edge, or non-smooth blocks to help the adaptive postprocessor to effectively remove the blocky effect and sharply preserve the edge information.